Vinod Jain

49 total papers · 434 total citations
36 papers, 268 citations indexed

About

Vinod Jain is a scholar working on Artificial Intelligence, Agronomy and Crop Science and Health Information Management. According to data from OpenAlex, Vinod Jain has authored 36 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Agronomy and Crop Science and 8 papers in Health Information Management. Recurrent topics in Vinod Jain's work include Milk Quality and Mastitis in Dairy Cows (9 papers), Artificial Intelligence in Healthcare (8 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Vinod Jain is often cited by papers focused on Milk Quality and Mastitis in Dairy Cows (9 papers), Artificial Intelligence in Healthcare (8 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Vinod Jain collaborates with scholars based in India. Vinod Jain's co-authors include Mayank Agrawal, Neelesh Sindhu, Anshu Sharma, Neelam Neelam, Vinay G. Joshi, Kuldeep Singh, Mahavir Singh, Rajesh Chhabra, Ashok Sharma and B Sangameswaran and has published in prestigious journals such as PLoS ONE, World Journal of Surgery and The Journal of Agricultural Science.

In The Last Decade

Vinod Jain

33 papers receiving 228 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Vinod Jain 83 53 46 36 28 36 268
John Dunnion 96 1.2× 34 0.6× 16 0.3× 33 0.9× 12 0.4× 26 269
Amit Pandey 56 0.7× 17 0.3× 42 0.9× 30 0.8× 23 0.8× 22 310
Xin Wang 52 0.6× 77 1.5× 26 0.6× 5 0.1× 83 3.0× 37 261
Xuan Guo 115 1.4× 38 0.7× 48 1.0× 19 0.5× 16 0.6× 36 248
Pankaj 37 0.4× 34 0.6× 8 0.2× 21 0.6× 15 0.5× 34 281
Liguang Zhang 73 0.9× 23 0.4× 57 1.2× 82 2.3× 5 0.2× 19 260
Zhenyuan Li 61 0.7× 7 0.1× 23 0.5× 44 1.2× 77 2.8× 27 264
Haithem Afli 153 1.8× 16 0.3× 54 1.2× 17 0.5× 12 0.4× 38 270
Jingzhi Li 80 1.0× 13 0.2× 26 0.6× 27 0.8× 6 0.2× 27 297
Mário Popolin Neto 57 0.7× 4 0.1× 63 1.4× 24 0.7× 11 0.4× 22 295

Countries citing papers authored by Vinod Jain

Since Specialization
Citations

This map shows the geographic impact of Vinod Jain's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vinod Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vinod Jain more than expected).

Fields of papers citing papers by Vinod Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vinod Jain. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vinod Jain. The network helps show where Vinod Jain may publish in the future.

Co-authorship network of co-authors of Vinod Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Vinod Jain. A scholar is included among the top collaborators of Vinod Jain based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vinod Jain. Vinod Jain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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